我可以使用简单的 JDBC 连接程序连接到 Informix 数据库,但是当我尝试使用 Spark Dataframes 加载表时,我遇到了异常。我们是否需要为 Informix Spark 连接使用特定的连接器?
下面是异常的堆栈跟踪:
java.sql.SQLException: System or internal error java.lang.NumberFormatException: For input string: "table_name"
at com.informix.util.IfxErrMsg.getSQLException(IfxErrMsg.java:482)
at com.informix.jdbc.IfxChar.toLong(IfxChar.java:666)
at com.informix.jdbc.IfxResultSet.getLong(IfxResultSet.java:1123)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.getNext(JDBCRDD.scala:411)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.hasNext(JDBCRDD.scala:472)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:241)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
最佳答案
当 Spark 生成数据库查询时,它会将列名放在引号中。为此,您需要在 JDBC 连接 URL 中添加
DELIMIDENT=Y
关于apache-spark - 使用 Dataframes 从 Informix 到 Spark 的 JDBC,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/35000345/